基于AHP的停车诱导系统影响因素分析及评分机制

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英文篇名：Analysis of Influencing Factors and Scoring Mechanism of Parking Guidance System Based on AHP 作者：马丹辉 英文作者：MA Danhui;Chang'an University; 关键词：AHP ; 停车诱导 ; 影响因素 ; 评分机制 英文关键词：AHP;;parking guidance;;influencing factors;;scoring mechanism 中文刊名：LYGY 英文刊名：Journal of Luoyang Institute of Science and Technology(Natural Science Edition) 机构：长安大学公路学院; 出版日期：2018-09-25 出版单位：洛阳理工学院学报(自然科学版) 年：2018 期：v.28 语种：中文; 页：LYGY201803005 页数：5 CN：03 ISSN：41-1403/N 分类号：27-31

摘要

停车诱导系统是智能交通系统中出行车辆信息系统的重要组成部分,能够为驾驶者提供及时的停车信息。为对停车诱导效果进行评价,在广泛调研的基础上选取驾驶员满意程度、停车诱导相关技术及环境影响等5个方面的17个相关因素进行分析,然后通过专家打分法对各因素之间重要度进行评判,从而建立了基于AHP的停车诱导系统综合评分机制。
        The parking guidance system is an important part of the travel information system in the intelligent traffic system,which can provide drivers with timely and convenient parking information. In order to analyze and evaluate the effect of parking guidance,based on extensive research,17 relevant factors including driver satisfaction level,parking induction related technology,and environmental impact were selected to conduct analysis. Then the expert scoring method was applied to judge the importance of each factor. A comprehensive scoring mechanism system for parking guidance system based on AHP is established finally.

引文

[1]汤圳.智能停车诱导系统设计与实现[D].成都:西南交通大学,2017:17-23.
    [2]刘新宪,朱道立.选择与判断:AHP[M].上海:上海科学普及出版社,1990:22-23.
    [3]Mei Z,Tian Y,Li D.Analysis of Parking Reliability Guidance of Urban Parking Variable Message Sign System[J].Mathematical Problems in Engineering,2012,54(5):42-47.
    [4]杨兆升.城市交通流诱导系统[M].北京:中国铁道出版社,2004:53-56.
    [5]侯一隅.智能停车管理与引导系统研究[D].北京:北京交通大学,2017:43-46.
    [6]陈晶毅.上海城市公共停车研究[D].上海:东华大学,2017:22-24.
    [7]曾舟.大型停车场停车诱导系统研究[D].重庆:重庆交通大学,2016:35-38.
    [8]段满珍,陈光,曹会云,等.停车场均衡利用博弈模型[J].西南交通大学学报,2017,52(4):810-816.